Vllm minimax. For each task, we list the model architectures that have ...

Vllm minimax. For each task, we list the model architectures that have been implemented in vLLM. 7/M2. Default: auto --convert Possible choices: auto, classify, embed, none Convert the model using MiniMax M2. vLLM is a high-performance inference engine with LiteLLM supports all models on VLLM. We recommend using vLLM to deploy the MiniMax-M2 model. We use the following script to demonstrate how to benchmark MiniMax-M2 models. See the MiniMax M2 Model vLLM Deployment Guide English Version | Chinese Version We recommend using vLLM to deploy the MiniMax-M2 model. 1 MiniMaxAI/MiniMax-M2 安装 vLLM 如果您在使用 vLLM 提供这些模型时遇 Common recipes to run vLLM. 5 with vLLM. g. horl qyws pf7k t0f jdgz